tests/testthat/_snaps/ngram.md

In tidymodels/textrecipes: Extra 'Recipes' for Text Processing

ngram works with varrying number of n

Code
  ngram(test_data, n = 0L, n_min = 0L, delim = "_")
Condition
  Error in `ngram()`:
  ! n must be a positive integer.

Code
  ngram(test_data, n = -1L, n_min = -1L, delim = "_")
Condition
  Error in `ngram()`:
  ! n must be a positive integer.

bad args

Code
  prep(step_ngram(recipe(~., data = mtcars), num_tokens = -4))
Condition
  Error in `step_ngram()`:
  Caused by error in `prep()`:
  ! `num_tokens` must be a whole number larger than or equal to 0, not the number -4.

Code
  prep(step_ngram(recipe(~., data = mtcars), min_num_tokens = -4))
Condition
  Error in `step_ngram()`:
  Caused by error in `prep()`:
  ! `min_num_tokens` must be a whole number larger than or equal to 0, not the number -4.

Code
  prep(step_ngram(recipe(~., data = mtcars), delim = -4))
Condition
  Error in `step_ngram()`:
  Caused by error in `prep()`:
  ! `delim` must be a single string, not the number -4.

bake method errors when needed non-standard role columns are missing

Code
  bake(trained, new_data = tokenized_test_data[, -1])
Condition
  Error in `step_ngram()`:
  ! The following required column is missing from `new_data`: text.

empty printing

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Operations 
  * ngramming for: <none>

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Training information 
  Training data contained 32 data points and no incomplete rows.

  -- Operations 
  * ngramming for: <none> | Trained

printing

Code
  print(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Operations 
  * Tokenization for: text
  * ngramming for: text

Code
  prep(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Training information 
  Training data contained 2 data points and no incomplete rows.

  -- Operations 
  * Tokenization for: text | Trained
  * ngramming for: text | Trained

tidymodels/textrecipes documentation built on June 12, 2025, 7:24 p.m.